Personalized Recommendation of Dish and Restaurant Collections on iFood
arxiv.org·4d
🧠Large Language Models (LLMs)
Modeling roles and trade-offs in multiplex networks
arxiv.org·2d
🌐Distributed LLM Systems
Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges
arxiv.org·4d
⚙️AI Infrastructure Automation
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
arxiv.org·3d
✨Model optimizations in LLMs
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation
arxiv.org·4d
🔍Retrieval-augmented generation
Honest and Reliable Evaluation and Expert Equivalence Testing of Automated Neonatal Seizure Detection
arxiv.org·2d
🧠Large Language Models (LLMs)
FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment
arxiv.org·2d
🔢Quantization of LLMs
TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
arxiv.org·5d
🧠Large Language Models (LLMs)
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation
arxiv.org·5d
🧠Large Language Models (LLMs)
The Emotional Baby Is Truly Deadly: Does your Multimodal Large Reasoning Model Have Emotional Flattery towards Humans?
arxiv.org·3d
🔍Retrieval-augmented generation
The Implicit Barrier of Utility Maximization: An Interior-Point Approach for Market Equilibria
arxiv.org·2d
✨Model optimizations in LLMs
Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
arxiv.org·2d
🧠Large Language Models (LLMs)
R²D²: Boost Robot Training with World Foundation Models and Workflows from NVIDIA Research
developer.nvidia.com·3d
📊AI Performance Profiling
TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection
arxiv.org·6d
🧠Large Language Models (LLMs)
Improving Q-Learning for Real-World Control: A Case Study in Series Hybrid Agricultural Tractors
arxiv.org·4d
✨Model optimizations in LLMs
KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs
arxiv.org·5d
🧠Large Language Models (LLMs)
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
arxiv.org·4d
✨Model optimizations in LLMs
Integrating Machine Learning with Multimodal Monitoring System Utilizing Acoustic and Vision Sensing to Evaluate Geometric Variations in Laser Directed Energy D...
arxiv.org·4d
⚙️AI Infrastructure Automation
PAIRS: Parametric-Verified Adaptive Information Retrieval and Selection for Efficient RAG
arxiv.org·3d
🔍Retrieval-augmented generation
FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images
arxiv.org·2d
🧠Large Language Models (LLMs)